• Offered by School of Computing
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Course subject Computer Science
  • Areas of interest Computer Science, Information Technology, Software Development
  • Work Integrated Learning Projects
  • Academic career PGRD
  • Course convener
    • Dr Charles Gretton
  • Mode of delivery In Person
  • Offered in First Semester 2024
    Second Semester 2024
    See Future Offerings
  • STEM Course

COMP8715 is an annual course (6+6) that must be completed twice, in consecutive semesters.

Students will conduct a project, under supervision, that will act as a capstone to their degree program, and increase the depth of their knowledge in the computing area. The project will be undertaken in small teams. The activities in the course will normally include some combination of reading, writing, artefact construction and presentation, as appropriate to the project's topic. Application of research methodologies in literature review and evaluation will also be undertaken. Topic-specific learning objectives, project overview and assessment arrangements will be specified at the outset of the course.

To enrol in this course you must meet the eligibility criteria, which includes membership of a student project group before the end of week 1, where the project has been approved by the convener.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Apply the student's knowledge and implementation skills in the computer science, and apply this to an advanced and specific project topic in that area.
  2. Deepen their knowledge of computing principles and practice through undertaking the project.
  3. Learn any specific technical skills required by their topic, and apply them to project work.
  4. Apply and deepen skills in oral and written communication, and apply these in a project context.
  5. Apply relevant project-related skills, including project management, teamwork, ethics in research, knowledge of relevant research, evaluation and production of project artifacts.

Work Integrated Learning


This course gives you the opportunity to practice teamwork, working in multidisciplinary teams and problem solving and develop skills to compete and develop the best solution to a real-world challenge. This course is is delivered under TechLauncher.

Other Information

The course COMP8715 is a group project course. Students in COMP8715 may be required to share their personal information with a third party, including Host organisations.

 If you elect to work on a project with a Host, the College of Engineering, Computing and Cybernetics will provide the Host with your name, your ANU ID number, your Academic Degree Program Level (e.g. Master/ Bachelor/Honours) and your ANU email address, as required. ANU will share your personal information only to the extent necessary for you to undertake your group project course.

 If you do not wish to share your personal information as outlined above, please do not enrol in this course and consider enrolling in another course.

Indicative Assessment

  1. Three group project reviews (75) [LO 1,2,3,4,5]
  2. Group Poster and Showcase (10) [LO 1,2,3,4,5]
  3. Individual Reflection (15) [LO 2,4,5]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


Annual course. Student enrolls in COMP8715 in 2 consecutive semesters. Around 50 contact hours across Team Formation Day, introductory lectures, tutor meetings, project reviews and public showcase. Around 210 hours of group project work and individual study.

Inherent Requirements


Requisite and Incompatibility

To enrol in this course you must meet the eligibility criteria, which includes membership of a student project group before the end of week 1, where the project has been approved by the convener. To enrol in this course you must: be enrolled in the Master of Computing AND have successfully completed: COMP6442 or COMP2100 AND COMP8260 OR be enrolled in the Master of Machine Learning and Computer Vision AND have successfully completed: COMP6710 or COMP6730 or COMP1110 AND COMP6250 or COMP8260 or ENGN6250 or ENGN8260 Incompatible with COMP8755 and COMP8830 and COMP8800

Prescribed Texts



Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2024 $4980
International fee paying students
Year Fee
2024 $6360
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4277 19 Feb 2024 26 Feb 2024 05 Apr 2024 24 May 2024 In Person View

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9276 22 Jul 2024 29 Jul 2024 31 Aug 2024 25 Oct 2024 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions